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PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds

Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providi...

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Detalles Bibliográficos
Autores principales: Valdés-Jiménez, Alejandro, Peña-Varas, Carlos, Borrego-Muñoz, Paola, Arrue, Lily, Alegría-Arcos, Melissa, Nour-Eldin, Hussam, Dreyer, Ingo, Nuñez-Vivanco, Gabriel, Ramírez, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924326/
https://www.ncbi.nlm.nih.gov/pubmed/33672700
http://dx.doi.org/10.3390/molecules26041124
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author Valdés-Jiménez, Alejandro
Peña-Varas, Carlos
Borrego-Muñoz, Paola
Arrue, Lily
Alegría-Arcos, Melissa
Nour-Eldin, Hussam
Dreyer, Ingo
Nuñez-Vivanco, Gabriel
Ramírez, David
author_facet Valdés-Jiménez, Alejandro
Peña-Varas, Carlos
Borrego-Muñoz, Paola
Arrue, Lily
Alegría-Arcos, Melissa
Nour-Eldin, Hussam
Dreyer, Ingo
Nuñez-Vivanco, Gabriel
Ramírez, David
author_sort Valdés-Jiménez, Alejandro
collection PubMed
description Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providing 3D-structural information along with physicochemical and pharmaceutical properties of the most relevant natural products. PSC-db may be utilized, for example, in qualitative estimation of biological activities (Quantitative Structure-Activity Relationship, QSAR) or massive docking campaigns to identify new bioactive compounds, as well as potential binding sites in target proteins. PSC-db has been implemented using the open-source PostgreSQL database platform where all compounds with their complementary and calculated information (classification, redundant names, unique IDs, physicochemical properties, etc.) were hierarchically organized. The source organism for each compound, as well as its biological activities against protein targets, cell lines and different organism were also included. PSC-db is freely available for public use and is hosted at the Universidad de Talca.
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spelling pubmed-79243262021-03-03 PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds Valdés-Jiménez, Alejandro Peña-Varas, Carlos Borrego-Muñoz, Paola Arrue, Lily Alegría-Arcos, Melissa Nour-Eldin, Hussam Dreyer, Ingo Nuñez-Vivanco, Gabriel Ramírez, David Molecules Article Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providing 3D-structural information along with physicochemical and pharmaceutical properties of the most relevant natural products. PSC-db may be utilized, for example, in qualitative estimation of biological activities (Quantitative Structure-Activity Relationship, QSAR) or massive docking campaigns to identify new bioactive compounds, as well as potential binding sites in target proteins. PSC-db has been implemented using the open-source PostgreSQL database platform where all compounds with their complementary and calculated information (classification, redundant names, unique IDs, physicochemical properties, etc.) were hierarchically organized. The source organism for each compound, as well as its biological activities against protein targets, cell lines and different organism were also included. PSC-db is freely available for public use and is hosted at the Universidad de Talca. MDPI 2021-02-20 /pmc/articles/PMC7924326/ /pubmed/33672700 http://dx.doi.org/10.3390/molecules26041124 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Valdés-Jiménez, Alejandro
Peña-Varas, Carlos
Borrego-Muñoz, Paola
Arrue, Lily
Alegría-Arcos, Melissa
Nour-Eldin, Hussam
Dreyer, Ingo
Nuñez-Vivanco, Gabriel
Ramírez, David
PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title_full PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title_fullStr PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title_full_unstemmed PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title_short PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
title_sort psc-db: a structured and searchable 3d-database for plant secondary compounds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924326/
https://www.ncbi.nlm.nih.gov/pubmed/33672700
http://dx.doi.org/10.3390/molecules26041124
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